Overview
Our Data Analytics course is meticulously designed to provide comprehensive training in data analysis, equipping students with the skills necessary to interpret complex data sets and make informed decisions. Through a blend of theoretical concepts and hands-on applications, students will master essential tools and techniques, including Python, SQL, NoSQL, statistics, Power BI, advanced Excel, machine learning, and deep learning. This course ensures participants are well-prepared to tackle real-world data challenges and pursue thriving careers
Python Programming
- Introduction to Python
- Writing and executing Python programs
- Language fundamentals: variables, data types, operators
- Conditional statements and loops
- Data structures: lists, tuples, sets, and dictionaries
- Functions: defining and using functions
- Modules and packages for code reusability
- File input/output operations
SQL (with MySQL)
- Understanding relational databases
- Writing basic to advanced SQL queries
- Data manipulation: INSERT, UPDATE, DELETE
- Data retrieval: SELECT queries, filtering, and sorting
- Working with joins, subqueries, and indexes
- Database design and normalization principles
NoSQL (with MongoDB)
- Introduction to NoSQL databases
- Setting up and working with MongoDB
- CRUD operations (Create, Read, Update, Delete)
- Data modeling for unstructured and semi-structured data
- Aggregation framework for data analysis
Statistics for Data Analysis
- Basics of descriptive statistics: mean, median, mode, and standard deviation
- Understanding probability theory and distributions
- Inferential statistics: sampling, confidence intervals, and hypothesis testing
- Regression analysis for predictive modeling
Power BI
- Overview of data visualization and its importance
- Connecting to data sources and preparing data
- Creating interactive dashboards and detailed reports
- Data modeling and managing relationships
- Using DAX (Data Analysis Expressions) for advanced calculations
- Publishing and sharing dashboards for team collaboration
Advanced Excel & VBA
- Mastering advanced Excel functions for data analysis
- Using pivot tables and pivot charts for summarizing data
- Data cleaning and transformation techniques
- Macros: recording and editing macros for automation
- Introduction to VBA (Visual Basic for Applications) programming
Machine Learning
- Fundamentals of machine learning and its applications
- Supervised learning: regression and classification models
- Unsupervised learning: clustering and dimensionality reduction
- Feature engineering and data preprocessing
- Evaluating model performance and tuning hyperparameters
- Implementing machine learning algorithms in Python
Deep Learning & Neural Networks
- Introduction to deep learning and artificial intelligence
- Building and training neural networks
- Optimization techniques: backpropagation and gradient descent
- Popular frameworks: TensorFlow and Keras
- Applications of AI in industries such as healthcare, finance, and e-commerce
Course Duration
We offer an intensive learning experience designed to fit into a short timeline:- Duration: 3 Weeks (ideal for individuals seeking quick upskilling and immediate application of knowledge)
Enrollment Details
- Prerequisites: Basic understanding of mathematics and statistics is recommended but not mandatory.
- Course Fee: Competitive pricing with flexible payment plans available.
- Start Dates: Multiple intakes throughout the year to suit your schedule.
Why Choose Us?
- Expert Instructors: Learn from industry professionals with extensive experience in data analytics.
- Hands-On Projects: Work on real-world projects that provide practical experience and enhance your problem-solving abilities.
- Comprehensive Curriculum: Gain expertise in tools and techniques that are in high demand in the industry.
- Career Support: Benefit from our dedicated career services, including resume building, interview preparation, and job placement assistance.
- Certification: Receive a recognized certificate upon successful completion of the course, validating your expertise in data analytics.
Who Should Enroll?
This course is ideal for:- Aspiring data analysts and data scientists looking to build a strong foundation.
- Professionals aiming to transition into data-centric roles.
- Business professionals seeking to enhance their data-driven decision-making skills.
- Students and graduates interested in entering the field of data analytics.
Get Started Today!
Embark on your data analytics journey with us and unlock new career opportunities. For more information or to request a free demo, visit our website or contact our admissions team at info@campusbuddy.org or +91-9315834794.Join us and transform data into actionable insights!Apply Now